Chapter
The Future of Machine Learning: Growing Models Instead of Starting from Scratch
13:13 - 22:49 (09:36)
The speaker discusses the limitations of constantly training machine learning models from scratch and proposes the idea of growing models over time, similar to how the universe and species evolve.
Clips
The podcast discusses how current AI builders and neural networks function, how they learn from human interactions, and the potential for advancements to improve lifetime experiences and human interactions online.
13:13 - 15:44 (02:30)
AI, Neural Networks, Human Interactions
Summary
The podcast discusses how current AI builders and neural networks function, how they learn from human interactions, and the potential for advancements to improve lifetime experiences and human interactions online.
ChapterThe Future of Machine Learning: Growing Models Instead of Starting from Scratch
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
The current approach to deep learning involves training models from scratch every few months.
15:44 - 22:49 (07:05)
Artificial Intelligence
Summary
The current approach to deep learning involves training models from scratch every few months. However, the idea of evolutionary AI and lifelong learning aims to develop models that can be built upon previous iterations, creating a database of neural networks that can be refreshed with new weights as needed.